Can a Single Variable Predict Early Dropout From Digital Health Interventions? Comparison of Predictive Models From Two Large Randomized Trials
BackgroundA single generalizable metric that accurately predicts early dropout from digital health interventions has the potential to readily inform intervention targets and treatment augmentations that could boost retention and intervention outcomes. We recently identified a type of early dropout f...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Book |
| Published: |
JMIR Publications,
2023-01-01T00:00:00Z.
|
| Subjects: | |
| Online Access: | Connect to this object online. |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Internet
Connect to this object online.3rd Floor Main Library
| Call Number: |
A1234.567 |
|---|---|
| Copy 1 | Available |